This page gives overall information about the project.
The aim of the Virtual Driver project (KK-stiftelsen/INFINIT Dnr 20140296) was to carry out research related to the development of the Swedish digital human modelling (DHM) tool IMMA (Intelligently Moving Manikins) to further develop the tool so that it can be utilised in the vehicle industry to perform efficient and valid virtual driver-vehicle interaction analyses.
The IMMA tool has the capability to predict postures and motions by the use of mathematical and numerical solutions rather than captured postures or motions. The aim is a tool with high usability that supports and automates the simulation work to a high degree, suitable both for experts and non-experts to perform verifications of driver-vehicle interaction.
Dan Högberg, University of Skövde
Lars Hanson (PhD/Professor), Scania AB / Chalmers / University of Skövde
Johan S Carlson (PhD), FCC
Robert Bohlin (PhD), FCC
Dan Högberg (PhD/Associate Professor), University of Skövde
Erik Brolin, University of Skövde / Chalmers (now PhD)
Peter Mårdberg, FCC/University of Skövde
Niclas Delfs, FCC
Degree project students
Pamela Ruiz Castro, University of Skövde
Beñat Garay García, University of Skövde
Academic institutions / Research organisations
- University of Skövde
- Fraunhofer-Chalmers Centre (FCC)
- Scania CV AB
- Volvo Car Corporation
- Volvo Technology AB
The project is funded by:
- KK-foundation through the INFINIT research environment at University of Skövde
- The participating organisations
Brolin, E., Högberg, D., Hanson, L. and Örtengren, R. (2016). Generation and Evaluation of Distributed Cases by Clustering of Diverse Anthropometric Data. International Journal of Human Factors Modelling and Simulation, Vol 5, No. 3, pp.210-229.
Brolin, E., Högberg, D., Hanson, L. and Örtengren, R. (2016). Development and Evaluation of an Anthropometric Module for Digital Human Modelling Systems. Submitted to International Journal of Industrial Ergonomics, Under review.
Brolin, E., Högberg, D., Hanson, L. and Örtengren, R. (2016). Adaptive regression model for prediction of anthropometric data. Accepted for publication in International Journal of Human Factors Modelling and Simulation.
Brolin, E., Högberg, D., Hanson, L. and Örtengren, R. (2016). Adaptive regression model for synthesizing anthropometric population data. Submitted to International Journal of Industrial Ergonomics, Under review.
Högberg, D., Hanson, L., Bohlin, R. and Carlson, J.S. (2016). Creating and shaping the DHM tool IMMA for ergonomic product and production design. International Journal of Digital Human, Vol. 1, No. 2, pp.132-152.
Högberg, D., Brolin, E. and Hanson, L. (2015). Accommodation levels for ellipsoid versus cuboid defined boundary cases. Procedia Manufacturing, Volume 3, 2015, pp. 3702-3708.
Bergman, C., Castro, P.M., Högberg, D. and Hanson, L. (2015). Implementation of Suitable Comfort Model for Posture and Motion Prediction in DHM Supported Vehicle Design. Procedia Manufacturing, Volume 3, 2015, Pages 3753-3758.
Högberg, D., Brolin, E. and Hanson, L. (2015). Identification of redundant boundary cases. Proceedings of the 19th Triennial Congress of the International Ergonomics Association. Lindgaard, G. and Moore, D. (Eds.), Melbourne, Australia, 9-14 August, 2015.
Pamela Ruiz Castro (2015). Seating comfort analysis for virtual driver research. Product Design Engineering. School of Engineering Science, University of Skövde.
Beñat Garay García (2015). High-level language design for IMMA-Virtual Driver DHM Research. Product Design Engineering. School of Engineering Science, University of Skövde.